World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
60
Citations
18851
World Ranking
2869
National Ranking
112

Charles Perrin publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Charles Perrin sits on this spectrum.

41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 283 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 25 scientists 501–510 publications: 17 scientists 511–520 publications: 18 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–686 publications: 3 scientists 687+ publications: 100 scientists
41 publications 687+

This scientist: 195 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 687 publications or more.

Charles Perrin D-index placement in Environmental Sciences in 2026

The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Charles Perrin sits on this spectrum.

30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 199 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 19 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125+ D-Index: 99 scientists
30 D-Index 125+

This scientist: 60 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 125 D-Index or more.

Overview

Charles Perrin is affiliated with the University of Paris-Saclay in France, where their research primarily contributes to the field of Environmental Science. Their work encompasses a range of subfields including Global and Planetary Change, Water Science and Technology, Environmental Engineering, Atmospheric Science, and Ecology.

Their scholarly output prominently features studies related to hydrology and watershed management, flood risk assessment and management, hydrology and drought analysis, as well as hydrological forecasting using artificial intelligence. Additional topics addressed in their research include cryospheric studies and observations, meteorological phenomena and simulations, and hydrology and sediment transport processes.

Frequent publication venues for their work include:

  • Hydrology and Earth System Sciences
  • Hydrological Sciences Journal
  • LHB
  • HAL (Le Centre pour la Communication Scientifique Directe)
  • Journal of Hydrology

Some of the recent papers published by Charles Perrin are:

  • "Sequential Data Assimilation for Streamflow Forecasting: Assessing the Sensitivity to Uncertainties and Updated Variables of a Conceptual Hydrological Model at Basin Scale" (2021), Water Resources Research
  • "airGR: Suite of GR Hydrological Models for Precipitation-Runoff Modelling. Manual of the R package version 1.4.3.60" (2020), HAL (Le Centre pour la Communication Scientifique Directe)
  • "Assessing the performance and robustness of two conceptual rainfall-runoff models on a worldwide sample of watersheds" (2020), Journal of Hydrology
  • "Streamflow naturalization methods: a review" (2020), Hydrological Sciences Journal
  • "When does a parsimonious model fail to simulate floods? Learning from the seasonality of model bias" (2021), Hydrological Sciences Journal

Their research collaborations involve frequent co-authorship with researchers such as Vazken Andréassian, Guillaume Thirel, Olivier Delaigue, François Bourgin, and François Tilmant.

Best Publications

  • Improvement of a parsimonious model for streamflow simulation

    Charles Perrin;Claude Michel;Vazken Andréassian

  • Position paper: Characterising performance of environmental models

    Neil D. Bennett;Barry F. W. Croke;Giorgio Guariso;Joseph H. A. Guillaume

  • Which potential evapotranspiration input for a lumped rainfall-runoff model?. Part 2: Towards a simple and efficient potential evapotranspiration model for rainfall-runoff modelling

    Ludovic Oudin;Frédéric Hervieu;Claude Michel;Charles Perrin

  • Twenty-three unsolved problems in hydrology (UPH)–a community perspective

    Günter Blöschl;Marc F.P. Bierkens;Antonio Chambel;Christophe Cudennec

  • Does a large number of parameters enhance model performance? Comparative assessment of common catchment model structures on 429 catchments

    C. Perrin;C. Michel;V. Andréassian

  • Spatial proximity, physical similarity, regression and ungaged catchments: A comparison of regionalization approaches based on 913 French catchments

    Ludovic Oudin;Vazken Andréassian;Charles Perrin;Claude Michel

  • Crash testing hydrological models in contrasted climate conditions: An experiment on 216 Australian catchments

    L. Coron;Vazken Andréassian;C. Perrin;J. Lerat

  • A review of efficiency criteria suitable for evaluating low-flow simulations

    Raji Pushpalatha;Charles Perrin;Nicolas Le Moine;Vazken Andréassian

  • Impact of imperfect rainfall knowledge on the efficiency and the parameters of watershed models

    Vazken Andréassian;Charles Perrin;Claude Michel;Iolanda Usart-Sanchez

  • Are seemingly physically similar catchments truly hydrologically similar

    Ludovic Oudin;Alison Kay;Vazken Andréassian;Charles Perrin

  • The suite of lumped GR hydrological models in an R package

    Laurent Coron;Guillaume Thirel;Olivier Delaigue;Charles Perrin

  • Large-sample hydrology: a need to balance depth with breadth

    H. V. Gupta;C. Perrin;G. Blöschl;A. Montanari

  • Stepwise development of a two-parameter monthly water balance model

    Safouane Mouelhi;Claude Michel;Charles Perrin;Vazken Andréassian

  • Soil Conservation Service Curve Number method: How to mend a wrong soil moisture accounting procedure?

    Claude Michel;Vazken Andréassian;Charles Perrin

  • Dynamic averaging of rainfall‐runoff model simulations from complementary model parameterizations

    Ludovic Oudin;Vazken Andréassian;Thibault Mathevet;Charles Perrin

  • ‘As simple as possible but not simpler’: What is useful in a temperature-based snow-accounting routine? Part 2 – Sensitivity analysis of the Cemaneige snow accounting routine on 380 catchments

    Audrey Valéry;Vazken Andréassian;Charles Perrin

  • Hydrological model parameter instability: A source of additional uncertainty in estimating the hydrological impacts of climate change?

    Pierre Brigode;Ludovic Oudin;Charles Perrin

  • Impact of biased and randomly corrupted inputs on the efficiency and the parameters of watershed models

    Ludovic Oudin;Charles Perrin;Thibault Mathevet;Vazken Andréassian

  • When does higher spatial resolution rainfall information improve streamflow simulation? An evaluation using 3620 flood events

    F. Lobligeois;Vazken Andréassian;C. Perrin;P. Tabary

  • A downward structural sensitivity analysis of hydrological models to improve low-flow simulation

    Raji Pushpalatha;Charles Perrin;Nicolas Le Moine;Thibault Mathevet

  • Impact of limited streamflow data on the efficiency and the parameters of rainfall—runoff models

    Charles Perrin;Ludovic Oudin;Vazken Andreassian;Claudia Rojas-Serna

Frequent Co-Authors

Vazken Andréassian
Vazken Andréassian University of Paris-Saclay
Ludovic Oudin
Ludovic Oudin Sorbonne University
François Anctil
François Anctil Université Laval
Jai Vaze
Jai Vaze Commonwealth Scientific and Industrial Research Organisation
Hoshin V. Gupta
Hoshin V. Gupta University of Arizona
Alberto Montanari
Alberto Montanari University of Bologna
Thorsten Wagener
Thorsten Wagener University of Potsdam
Roger Moussa
Roger Moussa INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Qingyun Duan
Qingyun Duan Hohai University

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